(特价书)第26届中国控制会议论文集(全六册)

《第26届中国控制会议论文集(全六册)》共收入874篇论文。这些论文是经中国自动化学会控制理论专业委员会组织评审，作为第26届中国控制会议发表的论文。论文内容包括系统理论与控制理论，模式识别，非线性系统及其控制，控制设计方法，复杂性与复杂系统理论，遗传算法与演化计算，分布参数系统，运动控制，混杂系统与DEDS，智能机器人，大系统，分布式控制系统，随机系统，信息处理系统，稳定性与镇定，故障诊断，建模、辨识与信号处理，通讯网络系统，最优控制与优化，CIMS与制造系统，鲁棒控制与H∞控制，交通系统，自适应控制与学习控制，生物与生态系统，变结构控制，社会经济系统，神经网络，工业系统，模糊系统与模糊控制等领域的应用研究成果。
《第26届中国控制会议论文集(全六册)》可供从事自动控制理论及其应用研究的高等院校教师和研究生、科研单位的研究人员以及土业部门的工程技术人员参考。
《第26届中国控制会议论文集(全六册)》进入IEEE会议出版程序，论文可从IEEE Explore下载。

第一册 大会报告
第二册 系统理论与控制理论
非线性系统及其控制
复杂性与复杂系统理论
分布参数系统
混杂系统与DEDS
大系统
随机系统

第三册 稳定性与镇定
建模、辨识与信号处理
最优控制与优化
鲁棒控制与H∞控制
自适应控制与学习控制

第四册 变结构控制
神经网络
模糊系统与模糊控制
模式识别
控制设计方法

　　 “中国控制会议”是由中国自动化学会控制理论专业委员会负责组织的学术会议，自1979年至今已：举器了25届，现已成为有关控制理论与技术的国际性学术年会。该系列年会的目的是为海内外系统控制领域的专家、学者、研究生及控制系统的设计人员提供一个学术交流的机会，以推动控制科学的学科发展和控制技术的应用。
　　第26届中国控制会议于2007年7月26日～31日在风景秀丽的张家界举行。会议由中南大学和湖南省自动化学会承办，协办单位包括：IEEE控制系统协会、日本仪器与控制工程师协会、韩国控制、自动化与系统工程学会、中国科学院数学与系统科学研究院系统科学研究所、国防科技大学、湖南大学、湖南工业大学和香港工程师学会控制自动化与仪表分部。
　　本着开拓创新与时俱进的精神，本届大会加强了组织协调，为扩大国际交流，设立了美国、日本、英国、澳大利亚、加拿大、韩国、新加坡、香港等八个国家和地区主席，得到海内外学者的热烈响应。中国控制会议正朝着国际化的目标稳步前进。
　　本届会议邀请6位知名学者做大会报告，分别是Brian D．O．Anderson（The Australian National University,．Australia），Theodore E．Djaferis（111e University of Massachusetts Amherst，USA），．Kwon，Wook Hyun（SeoulNational LJniversity,．Korea），’rielong Shen（SoplaJia University,．Japan），Andrew R．Teel（University of California，USA），吴家睿（IJniversity of Science and Technology of China，China）。
　　本次会议共收到投稿论文1572篇，创造了新的记录。经程序委员会评审，论文集共收录874篇论文。论文作者来自中国大陆、香港、台湾、日本、美国、韩国、澳大利亚、伊朗、瑞典、英国、加拿大、新加坡、喀麦隆、埃及、立陶宛、法国、匈牙利、印度、意大利、约旦、突尼斯、土耳其等20多个国家和地区。

　　
　　
　　
　　Abstract: After "Human Genome Project" has been accomplished, the life science comes to a new era, the post-genome era.In the post-genome era, the "big sciences" such as genomics, proteomics and metabolomics （so-called "omits"） gradually be-come a new popular research methodology to provide global pictures of cells or organisms, although the classical experimen-tal biology （small sciences） such as molecular biology or cell biology is still the mainstream in life sciences. The concept andstrategy of omies is completely different from the classical experimental biology. The omits is called a "discovery science",of which the goal is to identify all the genes or proteins in the organisms, whereas the classical experimental biology such asmolecular biology is called a "hypothesis-driven science", since the researches of these disciplines are initiated based on thescientific hypothesis and focus on studying the structure and functions of individual gene or protein.Systems Biology is a newly born discipline in the post-genome era, which integrates the research strategy of classical experi-mental biology such as molecular biology with the new research strategy of "omics". Systems Biology is also a new interdis-ciplinary frontier based mainly on the integration of the "wet" experiments such as molecular biology or "omics" with the"dry" experiments such as bioinformatics and computational biology. Technology of Systems Biology includes the "omits"platforms such as proteomics-plafform and the theoretical platforms for computing and modeling. From these properties, Sys-tems Biology is defined as an integrating methodology for analyzing the components and dynamical behavior of biologicalsystems as a whole. More importantly, these properties have made Systems Biology as a powerful analytical tool to reveal thecomplex diseases such as cancer and diabetes.Although the complex diseases have been extensively studied for along term, it is far beyond understanding the mechanismsof the disease-process and curing these diseases. The difficulties for dealing with the complex diseases arise from the aspectsof the complex diseases: 1） the causes of the initiation and development of the complex diseases involve multiple genetic fac-tors, environment factors and the interaction of these two kinds of factors. 2） the different kinds of cells or tissues involve inthe diseases. For example, the brain, pancreas, liver, skeletal muscle and adipose tissue mainly involve in the type 2 diabetes.3） the molecular defects for the complex disease disrupt the normal behaviors of the complex molecular networks of genesand proteins.The classieai bio-medicine based on molecular biology, cell biology, genetics and other experimental biology has made sig-nificant progress for against disease in general. However, the researchers on the bio-medicine area still face the great chal-lenge for against the complex diseases such as cancer and diabetes since the methodology of the classical experimental biol-ogy is based on studying individual gene and protein and treat the organisms as a simple and linear system, which is not goodenough to solve such problems of the complex diseases. Therefore, it is clear that the methodology and techniques of systembiology must be applied for analyzing the molecular mechanisms of the complex diseases, and provide new solutions for pre-venting and curing the diseases.Key Word: Systems biology, Complex disease, Omits